Towards that goal, our main objective is to build an online reinforcement learning (RL) algorithm [1]} to be incorporated into the Oralytics mobile health application. Oralytics is a mobile health smartphone app that provides interventions to encourage oral self-care behaviors. The RL algorithm we develop will learn, online, users' responsivity to the messages and decide at each of two brushing times per day whether to deliver each user an intervention message; the goal of the algorithm is to improve users' brushing quality throughout the study. The first Oralytics clinical trial with an RL algorithm to optimize message delivery will begin in fall 2022.
